Om Parkash

494 citations
22 papers · 387 indexed · h-index 8
Topics
Bone Tissue Engineering Materials (4 papers)Multi-Criteria Decision Making (4 papers)Neural Networks and Applications (4 papers)
Journals
SHILAP Revista de lepidopterologíaApplied Physics LettersInformation Sciences
Partner nations
IndiaCanadaIran

In The Last Decade

Om Parkash

20 papers receiving 371 citations

Peers

Om Parkash
Comparison fields: 5 of 90
  • Materials Chemistry 142
  • Biomedical Engineering 129
  • Electrical and Electronic Engineering 69
  • Artificial Intelligence 61
  • Electronic, Optical and Magnetic Materials 57
Replace Akbar Zendehnam with:
Akbar Zendehnam Iran
Aldair E. Gongora United States
Wendi Li China
Chenggang Zhang China
Bogdan Mărculescu Romania
Heqing Li China
Flore Mekki‐Berrada Singapore
James R. Deneault United States
Om Parkash relative to Akbar Zendehnam Iran Akbar Zendehnam's profile →
Citations per field
00.5×1.5×2.4×
Akbar Zendehnam · 1×
Citations per year

Countries citing papers authored by Om Parkash

Since Specialization
Citations

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

Fields of papers citing papers by Om Parkash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Om Parkash

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 68
4 1
5 37
6 14
7 2
8 21
9 4
10 0
11 88
12 3
13 5
14 4
15 10
16 100
17 6
18
A new parametric measure of fuzzy entropy
6
19 7
20 5

About Om Parkash

Om Parkash is a scholar working on Oral Surgery, Management Science and Operations Research and Statistics and Probability, having authored 22 papers that have together received 387 indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (4 papers), Multi-Criteria Decision Making (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Biomaterials (49 citations), Orthodontics (16 citations) and Management Science and Operations Research (42 citations). Om Parkash has collaborated with scholars based in India, Canada and Iran. Frequent co-authors include Devendra Kumar, S. Bahadur, Vijay Kumar Mishra, Babita Baruwati, Sunkara V. Manorama, Rajnish K. Singh, K. Madhusudan Reddy, Piyush Sharma, H.C. Taneja and V. B. Tare. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and Information Sciences.

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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