Shashank Mujumdar

28 total papers · 441 total citations
11 papers, 239 citations indexed

About

Shashank Mujumdar is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Shashank Mujumdar has authored 11 papers receiving a total of 239 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Management Science and Operations Research. Recurrent topics in Shashank Mujumdar's work include Data Quality and Management (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Shashank Mujumdar is often cited by papers focused on Data Quality and Management (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Shashank Mujumdar collaborates with scholars based in India, United States and Israel. Shashank Mujumdar's co-authors include Nitin Gupta, Sameep Mehta, Shazia Afzal, Hima Patel, Vitobha Munigala, Ruhi Sharma Mittal, Shanmukha Guttula, Abhinav Jain, Sambaran Bandyopadhyay and Douglas Burdick and has published in prestigious journals such as Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Shashank Mujumdar

10 papers receiving 232 citations

Author Peers

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

Author						Papers	Cites
Shashank Mujumdar	108	34	33	32	21	11	239
Ruhi Sharma Mittal	127 1.2×	40 1.2×	27 0.8×	32 1.0×	22 1.0×	11	259
Hima Patel	110 1.0×	39 1.1×	21 0.6×	29 0.9×	21 1.0×	8	234
Shanmukha Guttula	110 1.0×	39 1.1×	21 0.6×	29 0.9×	21 1.0×	6	234
Vitobha Munigala	108 1.0×	37 1.1×	29 0.9×	30 0.9×	27 1.3×	11	254
Micah J. Smith	107 1.0×	20 0.6×	20 0.6×	36 1.1×	24 1.1×	8	224
Siham Yousfi	197 1.8×	35 1.0×	20 0.6×	54 1.7×	19 0.9×	15	321
Jing Cheng	142 1.3×	37 1.1×	52 1.6×	35 1.1×	17 0.8×	15	260
Naila Aslam	100 0.9×	18 0.5×	25 0.8×	88 2.8×	24 1.1×	20	266
Nour El Islem Karabadji	83 0.8×	22 0.6×	27 0.8×	86 2.7×	25 1.2×	10	267
A. Merbouha	134 1.2×	14 0.4×	38 1.2×	89 2.8×	34 1.6×	8	318

Countries citing papers authored by Shashank Mujumdar

Since Specialization

Citations

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

Fields of papers citing papers by Shashank Mujumdar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shashank Mujumdar

This figure shows the co-authorship network connecting the top 25 collaborators of Shashank Mujumdar. A scholar is included among the top collaborators of Shashank Mujumdar 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 Shashank Mujumdar. Shashank Mujumdar 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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