Manish Arya

766 citations
28 papers · 326 · h-index 7

Impact in

Papers in

Manish Arya

20 papers receiving 294 citations

Peers

Manish Arya
Comparison fields: 5 of 57
  • Signal Processing 104
  • Computer Networks and Communications 173
  • Artificial Intelligence 130
  • Health Informatics 5
  • Information Systems 82
Replace Jialin Ding with:
Jialin Ding China
Mingchen Zhao United States
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Inês Dutra Portugal
Mingsheng Hong China
Michael W. Dusenberry United States
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Richard Kyle MacKinnon Canada
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Citations per field
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Citations per year

Countries citing papers authored by Manish Arya

Since Specialization
Citations

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

Fields of papers citing papers by Manish Arya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Manish Arya, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Manish Arya Line = papers co-authored together Manish Arya links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002126
2 199665
3 201950
4
QBISM: A Prototype 3-D Medical Image Database System.
199320
5 199615
6 200215
7 19968
8 20194
9 20174
10 20193
11 20232
12 20232
13 20102
14 20022
15 20172
16 20231
17
On Engineering Web-based Enterprise Applications.
20061
18 20131
19 20231
20 20211

About Manish Arya

Manish Arya is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Surgery, having authored 28 papers that have together received 326 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (5 papers), Advanced Database Systems and Queries (4 papers), Data Management and Algorithms (4 papers), Brain Tumor Detection and Classification (2 papers), Algorithms and Data Compression (2 papers), Distributed systems and fault tolerance (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Signal Processing (104 citations), Computer Networks and Communications (173 citations), Artificial Intelligence (130 citations), Health Informatics (5 citations) and Information Systems (82 citations). Manish Arya has collaborated with scholars based in India, United States and Germany. Frequent co-authors include William F. Cody, Ronald Fagin, Edward L. Wimmers, Laura M. Haas, Peter Schwarz, Michael J. Carey, John Thomas, Myron Flickner, W. Niblack and John H. Williams. Their work appears in journals such as Pediatric Nephrology, Cellular Physiology and Biochemistry, International Journal of Computer Assisted Radiology and Surgery, Computerized Medical Imaging and Graphics and ACM SIGMOD Record.

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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