Mayank Lahiri

461 total citations
9 papers, 309 citations indexed

About

Mayank Lahiri is a scholar working on Statistical and Nonlinear Physics, Signal Processing and Sociology and Political Science. According to data from OpenAlex, Mayank Lahiri has authored 9 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Statistical and Nonlinear Physics, 3 papers in Signal Processing and 2 papers in Sociology and Political Science. Recurrent topics in Mayank Lahiri's work include Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (3 papers) and Data Management and Algorithms (2 papers). Mayank Lahiri is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Opinion Dynamics and Social Influence (3 papers) and Data Management and Algorithms (2 papers). Mayank Lahiri collaborates with scholars based in United States and Spain. Mayank Lahiri's co-authors include Tanya Berger‐Wolf, Manuel Cebrián, Chayant Tantipathananandh, Daniel I. Rubenstein, Andrew Dougherty, Arun S. Maiya, Nuria Oliver and Alex Pentland and has published in prestigious journals such as Journal of Crystal Growth, IEEE Journal of Selected Topics in Signal Processing and Knowledge and Information Systems.

In The Last Decade

Mayank Lahiri

9 papers receiving 301 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mayank Lahiri United States 7 149 72 65 56 54 9 309
Chayant Tantipathananandh United States 7 304 2.0× 55 0.8× 117 1.8× 102 1.8× 35 0.6× 8 516
Luh Yen Belgium 10 220 1.5× 52 0.7× 80 1.2× 203 3.6× 30 0.6× 12 470
Arnaud Sallaberry France 12 140 0.9× 46 0.6× 147 2.3× 106 1.9× 57 1.1× 37 350
Ri‐Qi Su China 12 155 1.0× 90 1.3× 29 0.4× 72 1.3× 17 0.3× 16 471
Arun S. Maiya United States 6 183 1.2× 50 0.7× 34 0.5× 107 1.9× 10 0.2× 10 286
Ananth Kalyanaraman United States 11 170 1.1× 68 0.9× 68 1.0× 148 2.6× 11 0.2× 44 506
Matjaž Zaveršnik Slovenia 3 165 1.1× 67 0.9× 57 0.9× 98 1.8× 22 0.4× 4 289
Xiao-Long Ren China 8 271 1.8× 63 0.9× 20 0.3× 66 1.2× 9 0.2× 20 385
Corinna Vehlow Germany 12 228 1.5× 30 0.4× 389 6.0× 121 2.2× 80 1.5× 18 583

Countries citing papers authored by Mayank Lahiri

Since Specialization
Citations

This map shows the geographic impact of Mayank Lahiri's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mayank Lahiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayank Lahiri more than expected).

Fields of papers citing papers by Mayank Lahiri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayank Lahiri. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mayank Lahiri. The network helps show where Mayank Lahiri may publish in the future.

Co-authorship network of co-authors of Mayank Lahiri

This figure shows the co-authorship network connecting the top 25 collaborators of Mayank Lahiri. A scholar is included among the top collaborators of Mayank Lahiri based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mayank Lahiri. Mayank Lahiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Lahiri, Mayank, et al.. (2011). Biometric animal databases from field photographs. 1–8. 70 indexed citations
2.
Lahiri, Mayank & Manuel Cebrián. (2010). The Genetic Algorithm as a General Diffusion Model for Social Networks. Proceedings of the AAAI Conference on Artificial Intelligence. 24(1). 494–499. 46 indexed citations
3.
Cebrián, Manuel, Mayank Lahiri, Nuria Oliver, & Alex Pentland. (2010). Measuring the Collective Potential of Populations From Dynamic Social Interaction Data. IEEE Journal of Selected Topics in Signal Processing. 4(4). 677–686. 2 indexed citations
4.
Lahiri, Mayank & Tanya Berger‐Wolf. (2009). Periodic subgraph mining in dynamic networks. Knowledge and Information Systems. 24(3). 467–497. 45 indexed citations
5.
Lahiri, Mayank, et al.. (2008). The Impact of Structural Changes on Predictions of Diffusion in Networks. 939–948. 21 indexed citations
6.
Lahiri, Mayank & Tanya Berger‐Wolf. (2008). Mining Periodic Behavior in Dynamic Social Networks. 373–382. 66 indexed citations
7.
Lahiri, Mayank & Tanya Berger‐Wolf. (2007). Structure Prediction in Temporal Networks using Frequent Subgraphs. 35–42. 44 indexed citations
8.
Lahiri, Mayank, et al.. (2005). Exploration or Convergence? Another Meta-Control Mechanism for GAs.. The Florida AI Research Society. 251–257. 4 indexed citations
9.
Dougherty, Andrew & Mayank Lahiri. (2004). Shape of ammonium chloride dendrite tips at small supersaturation. Journal of Crystal Growth. 274(1-2). 233–240. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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