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Best Indian American

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Rankings use category fit, feature coverage, pricing signals, public reception, and recency. Affiliate relationships do not affect scores.

0.0 - 10.0
Best 1 Sanjeev Arora

Sanjeev Arora is an American theoretical computer scientist and a professor at Princeton University. He is best known for his co-discovery of the PCP theorem in 1998, a landmark result in computational complexity theory that established the hardness of approximating many NP-hard problems. His resear...

9.18 Excellent
Why this score?

PCP theorem and approximation hardness contributions are foundational; elite theory reputation with major awards.

Scoring methodology
2 The Golden Gate

"The Golden Gate" is a 1986 novel written in verse by Indian author Vikram Seth. It explores the intertwined lives, relationships, and struggles of a group of young professionals living in San Francisco during the 1980s. The entire work is composed of nearly 600 Pushkin sonnets, utilizing fourteen-l...

8.88 Great
Why this score?

Acclaimed verse novel demonstrating extraordinary formal control, narrative charm, wit, and emotional intelligence within Pushkin sonnets.

Scoring methodology
3 Jitendra Malik

Jitendra Malik is an Indian-American computer scientist and professor at the University of California, Berkeley. He is a pioneer in computer vision, best known for his foundational research in image segmentation, contour detection, and object recognition. His co-authored Normalized Cuts algorithm be...

8.84 Great
Why this score?

Normalized Cuts, segmentation, contours, and vision leadership give high consensus reputation.

Scoring methodology
4 Sanjay Subrahmanyam

Sanjay Subrahmanyam is an Indian historian of the early modern period whose research connects the histories of South Asia, Europe, and the wider Indian Ocean world. He is associated with the method of connected histories, which examines interactions and shared processes across political and cultural...

8.75 Great
Why this score?

Leading early modern global and South Asian historian, admired for connected histories and linguistic range.

Scoring methodology
5 Raj Chetty
Raj Chetty

Raj Chetty is an Indian-born American economist at Harvard University whose research focuses on public economics, inequality, taxation, education, and social mobility. He is known for combining large administrative datasets with empirical research designs to measure how childhood location, family ci...

8.73 Great
Why this score?

Elite empirical public economist; administrative-data work on mobility and policy has exceptional influence.

Scoring methodology
6 Abhijit Banerjee

Abhijit Banerjee is an Indian-American economist at MIT who shared the 2019 Nobel Prize for pioneering the use of randomized controlled trials to evaluate anti-poverty interventions in developing countries.

8.72 Great
Why this score?

Nobel laureate; RCT development work highly influential, though experimental development economics faces external-validity critiques.

Scoring methodology
7 Madhu Sudan

Madhu Sudan is an Indian-American computer scientist at Harvard University, previously at MIT, whose work spans theoretical computer science, coding theory, and probabilistic proof systems. He made foundational contributions to list decoding of error-correcting codes and to the probabilistically che...

8.72 Great
Why this score?

List decoding and PCP contributions are foundational; high consensus in coding theory and complexity.

Scoring methodology
8 Narinder Singh Kapany

Narinder Singh Kapany was an Indian-American physicist whose research helped establish the principles and practical uses of fiber optics. His experiments demonstrated that light could be transmitted through bundles of fine glass fibers, supporting later developments in communications, imaging, and m...

8.69 Great
Why this score?

Pioneering fiber-optics experiments established practical image transmission and terminology, earning strong recognition despite contested father-of-the-field claims.

Scoring methodology
9 Rajeev Motwani

Rajeev Motwani was a professor of computer science at Stanford University whose research spanned randomized algorithms, approximation algorithms, online algorithms, and web search. He co-authored the textbook 'Randomized Algorithms' (1995) with Prabhakar Raghavan and mentored Larry Page and Sergey B...

8.60 Great
Why this score?

Randomized algorithms, PageRank mentorship, and Stanford influence are highly regarded; major legacy despite early death.

Scoring methodology
10 Avinash Dixit

Avinash Dixit is an Indian-born American economist whose research covers international trade, industrial organization, game theory, political economy, and investment under uncertainty. With Joseph Stiglitz, he developed the Dixit-Stiglitz model of monopolistic competition, which explains markets con...

8.55 Great
Why this score?

Major theorist in trade, game theory, and political economy; textbooks and models widely respected.

Scoring methodology
11 Dipesh Chakrabarty

Dipesh Chakrabarty is an Indian historian and theorist whose work connects South Asian history with postcolonial theory and global historical analysis. His 2000 book Provincializing Europe argues that European historical categories cannot be treated as universal standards for interpreting all societ...

8.55 Great
Why this score?

Influential postcolonial historian, major theorist of provincializing Europe; high interdisciplinary impact.

Scoring methodology
12 Umesh Vazirani

Umesh Vazirani is a professor of electrical engineering and computer sciences at the University of California, Berkeley. He is recognized for foundational contributions to quantum computing, including the 1993 paper with Ethan Bernstein that introduced the complexity class BQP and the Bernstein-Vazi...

8.54 Great
Why this score?

Quantum complexity and algorithms work, plus textbook influence; major role in theoretical quantum computing.

Scoring methodology
13 Mihir Bellare

Mihir Bellare is a professor of computer science at the University of California, San Diego. He is known for co-developing the random oracle model with Phillip Rogaway, providing a widely used methodology for analyzing the security of cryptographic schemes. His contributions span both symmetric and...

8.52 Great
Why this score?

Random oracle model and provable security methodology shaped modern cryptography; very strong specialist consensus.

Scoring methodology
14 Mansi Kasliwal

Mansi Kasliwal is an Indian-American astronomer and a professor of astronomy at the California Institute of Technology (Caltech). Her research focuses on the study of transient astronomical events, such as supernovae and kilonovae, which are bright flashes of light caused by stellar explosions or me...

8.48 Great
Why this score?

Leading observational transient astronomer whose work on kilonovae and infrared discovery networks has earned major awards and strong acclaim.

Scoring methodology
15 C. Kumar N. Patel

Chandra Kumar Naranbhai Patel is an Indian-American electrical engineer and physicist who invented the carbon dioxide laser in 1964 while working at Bell Laboratories. The CO2 laser he developed was groundbreaking because it was the first continuous-wave laser capable of producing high power with re...

8.42 Great
Why this score?

Carbon-dioxide laser became indispensable across industry, medicine, and science; highly respected technical achievement with less mainstream recognition than its impact warrants.

Scoring methodology
16 Prabhakar Raghavan

Prabhakar Raghavan is an Indian-American computer scientist known for his research in algorithms, randomized methods, and information retrieval. He co-authored the textbook 'Randomized Algorithms' with Rajeev Motwani and has held senior leadership roles at Yahoo Research and Google. His academic wor...

8.41 Great
Why this score?

Randomized algorithms, web search, and senior research leadership give broad influence; less singular than top algorithm theorists.

Scoring methodology
17 Venkatesan Guruswami

Venkatesan Guruswami is a computer scientist specializing in coding theory, computational complexity, and algorithms. His work with Madhu Sudan on list-decodable codes advanced error-correcting code theory by showing how to decode beyond the traditional error-correction radius. Guruswami serves as a...

8.33 Great
Why this score?

Capacity-achieving list decoding and coding theory contributions are influential; strong theoretical reputation.

Scoring methodology
18 Ananya Roy
Ananya Roy

Ananya Roy is a scholar of urban studies, geography, and international development whose work examines poverty, displacement, housing, and urban inequality. At the University of California, Los Angeles, she directs the Institute on Inequality and Democracy and holds academic appointments connected w...

8.20 Great
Why this score?

Major urban informality and subaltern urbanism theorist, highly visible and influential across planning and geography.

Scoring methodology
19 Vijay Vazirani

Vijay Vazirani is a computer scientist who works on approximation algorithms, matching theory, and algorithmic game theory. He co-developed algorithms for finding maximum matchings in graphs and wrote the textbook "Approximation Algorithms." Vazirani's work has helped establish approximation algorit...

8.20 Great
Why this score?

Approximation algorithms textbook and foundational results are widely respected; strong educational and research impact.

Scoring methodology
20 Chitranjan Ranawat

Chitranjan Ranawat is an Indian-American orthopedic surgeon associated with the Hospital for Special Surgery in New York. His clinical and research work has focused on reconstructive surgery of the hip and knee, including total joint replacement techniques and prosthetic implant design. He is known...

8.18 Great
Why this score?

Major hip and knee arthroplasty contributor; high HSS reputation and implant design influence.

Scoring methodology
21 V.S. Ramachandran

V. S. Ramachandran is an Indian-born neuroscientist known for research in behavioral neurology and visual psychophysics at the University of California, San Diego. He studied phantom limbs, body representation, synesthesia, and neurological conditions using relatively simple experimental methods. He...

8.05 Great
Why this score?

Creative phantom limb and perception work is influential, though some theories are speculative and overstated publicly.

Scoring methodology
22 Nalini Ambady

Nalini Ambady (1959-2013) was an Indian-American social psychologist known for research on nonverbal behavior, interpersonal perception, and what she termed thin slices of expressive behavior. Her studies examined how observers can sometimes form meaningful judgments from very brief samples of condu...

7.95 Good
Why this score?

Thin-slice judgment research is influential and respected, with strong methodological creativity.

Scoring methodology
23 Sendhil Mullainathan

Sendhil Mullainathan is an American economist and a 2018 MacArthur Fellow who currently teaches at the Massachusetts Institute of Technology. He is a prominent figure in behavioral economics, researching how cognitive biases and resource deprivation affect human decision-making. He co-authored the 2...

7.93 Good
Why this score?

Influential behavioral economist; Scarcity and applied behavioral work have broad policy and public reach.

Scoring methodology
24 Prasad Raghavendra

Prasad Raghavendra is a theoretical computer scientist and professor at UC Berkeley. He is best known for proving that semidefinite programming relaxations, combined with rounding schemes, achieve the best possible approximation ratios for all constraint satisfaction problems assuming the Unique Gam...

7.92 Good
Why this score?

UGC-optimal approximation result is highly respected; strong specialist theory reputation.

Scoring methodology
25 Pankaj Agarwal

Pankaj Agarwal is a Duke University professor known for range searching, geometric approximation algorithms, and co-authoring the comprehensive text Davenport-Schinzel Sequences and Their Geometric Applications.

7.91 Good
Why this score?

Range searching and geometric algorithms textbook influence are strong; respected computational geometry reputation.

Scoring methodology
26 Kunal Talwar

Kunal Talwar is a computer scientist who has worked at Microsoft Research and Google, making significant theoretical contributions to differential privacy and its applications. His research includes developing improved mechanisms for releasing high-dimensional statistical data while preserving priva...

7.78 Good
Why this score?

Differential privacy mechanisms and theory contributions are respected; specialist impact is substantial.

Scoring methodology
27 Viral Acharya

Viral Acharya is an Indian-American economist who serves as the C.V. Starr Professor of Economics in the Department of Finance at New York University's Stern School of Business. His academic research focuses heavily on banking regulation, corporate finance, and the measurement and mitigation of syst...

7.70 Good
Why this score?

Influential systemic-risk and banking scholar; policy experience adds visibility, with strong technical reputation.

Scoring methodology
28 Richa Nagar

Richa Nagar is a feminist geographer and scholar at the University of Minnesota whose work addresses gender, migration, development, and social justice. Her research has involved South Asia and East Africa and is distinguished by collaborative, multilingual, and postcolonial approaches to knowledge...

7.64 Good
Why this score?

Known for collaborative feminist and postcolonial methodologies, influential in critical and activist geography.

Scoring methodology
29 Kailash Sahu

Kailash C. Sahu is an Indian-American astrophysicist working at the Space Telescope Science Institute in Baltimore. He specializes in the study of gravitational microlensing, utilizing observatories like the Hubble Space Telescope to observe celestial objects. Sahu is notably recognized for leading...

7.52 Good
Why this score?

Noted microlensing expert whose isolated black-hole candidate drew major attention, although interpretation and mass estimates remain contested.

Scoring methodology
30 Indian-ish
Indian-ish

Indian-ish is a 2019 cookbook by Priya Krishna, written with Ritu Krishna and inspired by the food cooked in their Indian American household. Its recipes combine Indian ingredients and techniques with the practical improvisations of American home cooking, including dishes such as roti pizza and saag...

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