Karthika Mohan

34 total papers · 514 total citations
17 papers, 212 citations indexed

About

Karthika Mohan is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, Karthika Mohan has authored 17 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 7 papers in Statistics and Probability and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Karthika Mohan's work include Bayesian Modeling and Causal Inference (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Data Quality and Management (3 papers). Karthika Mohan is often cited by papers focused on Bayesian Modeling and Causal Inference (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Data Quality and Management (3 papers). Karthika Mohan collaborates with scholars based in United States, India and United Kingdom. Karthika Mohan's co-authors include Judea Pearl, Felix Thoemmes, Jin Tian, Jayaraman J. Thiagarajan, Ulugbek S. Kamilov, Rushil Anirudh, Hyo-Jin Kim, Jiaming Liu, C. V. Jawahar and Ilya Shpitser and has published in prestigious journals such as Structural Equation Modeling A Multidisciplinary Journal, International Journal of Performability Engineering and arXiv (Cornell University).

In The Last Decade

Karthika Mohan

16 papers receiving 204 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Karthika Mohan	101	76	30	27	22	17	212
Cencheng Shen	29 0.3×	57 0.8×	11 0.4×	36 1.3×	12 0.5×	25	183
Changgee Chang	60 0.6×	57 0.8×	12 0.4×	12 0.4×		23	269
Xuan Bi	21 0.2×	60 0.8×	43 1.4×	21 0.8×		27	232
Manuel Luque	7 0.1×	121 1.6×	69 2.3×	24 0.9×	7 0.3×	15	267
Mitra Montazeri	7 0.1×	114 1.5×	56 1.9×	28 1.0×	9 0.4×	20	252
A. Sophia Koepke	15 0.1×	91 1.2×	12 0.4×	120 4.4×	12 0.5×	16	269
George Dounias	6 0.1×	127 1.7×	10 0.3×	33 1.2×	9 0.4×	18	218
Alejandro Guerra‐Hernández	5 0.0×	59 0.8×	40 1.3×	7 0.3×	12 0.5×	23	151
Antoine Chambaz	87 0.9×	75 1.0×	15 0.5×	2 0.1×	8 0.4×	25	216
Maxim Panov	15 0.1×	77 1.0×	3 0.1×	28 1.0×	3 0.1×	18	168

Countries citing papers authored by Karthika Mohan

Since Specialization

Citations

This map shows the geographic impact of Karthika Mohan'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 Karthika Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karthika Mohan more than expected).

Fields of papers citing papers by Karthika Mohan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karthika Mohan. 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 Karthika Mohan. The network helps show where Karthika Mohan may publish in the future.

Co-authorship network of co-authors of Karthika Mohan

This figure shows the co-authorship network connecting the top 25 collaborators of Karthika Mohan. A scholar is included among the top collaborators of Karthika Mohan 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 Karthika Mohan. Karthika Mohan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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