Supriya Raheja

88 total papers · 516 total citations
40 papers, 325 citations indexed

About

Supriya Raheja is a scholar working on Artificial Intelligence, Information Systems and Management Science and Operations Research. According to data from OpenAlex, Supriya Raheja has authored 40 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 11 papers in Information Systems and 10 papers in Management Science and Operations Research. Recurrent topics in Supriya Raheja's work include Multi-Criteria Decision Making (10 papers), Fuzzy Logic and Control Systems (7 papers) and Cloud Computing and Resource Management (6 papers). Supriya Raheja is often cited by papers focused on Multi-Criteria Decision Making (10 papers), Fuzzy Logic and Control Systems (7 papers) and Cloud Computing and Resource Management (6 papers). Supriya Raheja collaborates with scholars based in India, United Arab Emirates and Saudi Arabia. Supriya Raheja's co-authors include David Seckler, Manoj Kumar, Rajan K. Sampath, Balqies Sadoun, Rakesh Garg, Mohammad S. Obaidat, Ramesh Kumar Garg, Xiaochun Cheng, Shashi Bhushan and Thompson Stephan and has published in prestigious journals such as Neural Computing and Applications, JAWRA Journal of the American Water Resources Association and IEEE Transactions on Reliability.

In The Last Decade

Supriya Raheja

34 papers receiving 300 citations

Author Peers

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

Author						Papers	Cites
Supriya Raheja	79	55	44	40	40	40	325
T. Amudha	73 0.9×	35 0.6×	24 0.5×	32 0.8×	22 0.6×	35	251
Essam Al Daoud	104 1.3×	53 1.0×	21 0.5×	51 1.3×	8 0.2×	20	331
Long Zhao	114 1.4×	54 1.0×	8 0.2×	16 0.4×	15 0.4×	37	324
Yevgeniya Kovalchuk	101 1.3×	38 0.7×	26 0.6×	56 1.4×	42 1.1×	26	331
Sriram Sankaranarayanan	45 0.6×	34 0.6×	14 0.3×	28 0.7×	12 0.3×	26	282
Bharti Nagpal	145 1.8×	84 1.5×	13 0.3×	92 2.3×	7 0.2×	33	313
Wonik Choi	88 1.1×	39 0.7×	23 0.5×	68 1.7×	12 0.3×	42	359
Xiaoli Wang	85 1.1×	25 0.5×	20 0.5×	16 0.4×	15 0.4×	33	336
Hai Van Pham	69 0.9×	39 0.7×	52 1.2×	35 0.9×	14 0.3×	38	244
Yifei Ma	99 1.3×	35 0.6×	31 0.7×	32 0.8×	6 0.1×	32	297

Countries citing papers authored by Supriya Raheja

Since Specialization

Citations

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

Fields of papers citing papers by Supriya Raheja

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriya Raheja

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