Manish Sarkar

482 total citations
12 papers, 326 citations indexed

About

Manish Sarkar is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Economics and Econometrics. According to data from OpenAlex, Manish Sarkar has authored 12 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 3 papers in Computational Theory and Mathematics and 3 papers in Economics and Econometrics. Recurrent topics in Manish Sarkar's work include Fuzzy Logic and Control Systems (4 papers), Neural Networks and Applications (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Manish Sarkar is often cited by papers focused on Fuzzy Logic and Control Systems (4 papers), Neural Networks and Applications (3 papers) and Metaheuristic Optimization Algorithms Research (3 papers). Manish Sarkar collaborates with scholars based in United States, India and Singapore. Manish Sarkar's co-authors include Tze-Yun Leong, Deepak Khemani and B. Yegnanarayana and has published in prestigious journals such as Fuzzy Sets and Systems, Pattern Recognition Letters and Artificial Intelligence in Medicine.

In The Last Decade

Manish Sarkar

12 papers receiving 301 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manish Sarkar United States	8	209	96	80	76	40	12	326
Jianhua Chen China	10	118 0.6×	69 0.7×	98 1.2×	52 0.7×	59 1.5×	57	321
Sarah Vluymans Belgium	12	328 1.6×	165 1.7×	83 1.0×	95 1.3×	18 0.5×	16	467
Xiaodong Zhu China	7	187 0.9×	41 0.4×	98 1.2×	61 0.8×	70 1.8×	12	325
Keshou Wu China	10	118 0.6×	109 1.1×	79 1.0×	83 1.1×	22 0.6×	24	296
Shenkai Gu United Kingdom	6	295 1.4×	79 0.8×	84 1.1×	31 0.4×	12 0.3×	8	376
Yasser El-Sonbaty Egypt	11	263 1.3×	32 0.3×	81 1.0×	68 0.9×	74 1.9×	29	365
P. Thangaraj India	11	102 0.5×	22 0.2×	64 0.8×	47 0.6×	35 0.9×	62	352
Christoph Goller Germany	6	352 1.7×	50 0.5×	82 1.0×	63 0.8×	25 0.6×	12	466
O. Uncu Canada	6	236 1.1×	40 0.4×	37 0.5×	43 0.6×	36 0.9×	12	330

Countries citing papers authored by Manish Sarkar

Since Specialization

Citations

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

Fields of papers citing papers by Manish Sarkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manish Sarkar

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

All Works

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12 of 12 papers shown

1.

Sarkar, Manish, et al.. (2019). Irrigation Infrastructure in India with Special Reference to North East. Research Journal of Humanities and Social Sciences. 10(2). 333–333. 1 indexed citations

2.

Sarkar, Manish. (2007). Fuzzy-rough nearest neighbor algorithms in classification. Fuzzy Sets and Systems. 158(19). 2134–2152. 77 indexed citations

3.

Sarkar, Manish. (2005). Ruggedness measures of medical time series using fuzzy-rough sets and fractals. Pattern Recognition Letters. 27(5). 447–454. 10 indexed citations

4.

Sarkar, Manish, et al.. (2004). Communication and Information Needs and Barriers: An International Collaboration Model. Studies in health technology and informatics. 107(Pt 2). 964–8. 1 indexed citations

5.

Sarkar, Manish & Tze-Yun Leong. (2003). Characterization of medical time series using fuzzy similarity-based fractal dimensions. Artificial Intelligence in Medicine. 27(2). 201–222. 18 indexed citations

6.

Sarkar, Manish. (2002). Rough–fuzzy functions in classification. Fuzzy Sets and Systems. 132(3). 353–369. 49 indexed citations

7.

Sarkar, Manish & Tze-Yun Leong. (2000). Application of K-nearest neighbors algorithm on breast cancer diagnosis problem.. PubMed. 759–63. 57 indexed citations

8.

Sarkar, Manish, B. Yegnanarayana, & Deepak Khemani. (1998). Backpropagation learning algorithms for classification with fuzzy mean square error. Pattern Recognition Letters. 19(1). 43–51. 11 indexed citations

9.

Sarkar, Manish. (1998). UNCERTAINTY-BASED PATTERN CLASSIFICATION BY MODULAR NEURAL NETWORKS. 2 indexed citations

10.

Sarkar, Manish, B. Yegnanarayana, & Deepak Khemani. (1997). A clustering algorithm using an evolutionary programming-based approach. Pattern Recognition Letters. 18(10). 975–986. 86 indexed citations

11.

Sarkar, Manish. (1996). Evolutionary Programming-Based Fuzzy Clustering.. 247–256. 7 indexed citations

12.

Yegnanarayana, B., Deepak Khemani, & Manish Sarkar. (1996). Neural networks for contract bridge bidding. Sadhana. 21(3). 395–413. 7 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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