Anuj Kumar

106 papers receiving 1.7k citations

Anuj Kumar's Hit Papers

Consistency Indices in Analytic Hierarchy Process: A Review 2022 · 155 citations
1550+1+2Years since publication50100150

Peers

Anuj Kumar
Comparison fields: 5 of 142
  • Safety, Risk, Reliability and Quality 157
  • Software 69
  • Statistics, Probability and Uncertainty 89
  • Artificial Intelligence 423
  • Soil Science 113
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Anders L. Madsen Denmark
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Citations per field
00.5×9.4×
Anders L. Madsen · 1×
Citations per year

Countries citing papers authored by Anuj Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Anuj Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anuj Kumar, 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 Anuj Kumar Line = papers co-authored together Anuj Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019195
2
Consistency Indices in Analytic Hierarchy Process: A Review
Hit paper breakdown →
2022155
3 202095
4 201688
5 202278
6 201867
7 201166
8 202156
9 201739
10 201138
11 202437
12 202235
13 201935
14 201933
15 202027
16 201127
17 201726
18 202325
19 201524
20
A modified particle swarm optimization algorithm for nonlinear optimization
201723

About Anuj Kumar

Anuj Kumar is a scholar working on Plant Science, General Agricultural and Biological Sciences, Artificial Intelligence, Management Science and Operations Research and Soil Science, having authored 117 papers that have together received 1.8k indexed citations. Recurring topics across this work include Agricultural Economics and Practices (14 papers), Reliability and Maintenance Optimization (12 papers), Multi-Criteria Decision Making (11 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (7 papers), Phytochemicals and Medicinal Plants (7 papers), Software Reliability and Analysis Research (7 papers) and Agricultural risk and resilience (6 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (157 citations), Software (69 citations), Statistics, Probability and Uncertainty (89 citations), Artificial Intelligence (423 citations) and Soil Science (113 citations). Anuj Kumar has collaborated with scholars based in India, Australia and Russia. Frequent co-authors include Sangeeta Pant, Mangey Ram, Seungwhan Moon, Pararth Shah, Rajen Subba, Hitesh Kumar Sharma, Yury Klochkov, R Sendhil, S. B. Singh and Shshank Chaube. Their work appears in journals such as Industrial Crops and Products, Plant Disease, Field Crops Research, Scientific Reports and Quality and Reliability Engineering International.

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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