Ankur Singh Bist

1.1k citations
77 papers · 657 indexed · h-index 17
Topics
Blockchain Technology in Education and Learning (10 papers)COVID-19 diagnosis using AI (7 papers)SMEs Development and Digital Marketing (5 papers)
Partner nations
IndiaIndonesiaNorway

In The Last Decade

Ankur Singh Bist

63 papers receiving 595 citations

Peers

Ankur Singh Bist
Comparison fields: 5 of 106
  • Information Systems 222
  • Artificial Intelligence 166
  • Sociology and Political Science 69
  • Computer Networks and Communications 60
  • Demography 58
Replace Mehdi Darbandi with:
Mehdi Darbandi Iran
Horacio González–Vélez Ireland
Henderi Henderi Indonesia
Muhammad Bilal Amin Australia
Ferry Wahyu Wibowo Indonesia
Joshua Ellul Malta
Emilio Serrano Spain
Agung Trisetyarso Indonesia
Yousef A. Baker El–Ebiary Malaysia
Narmeen Zakaria Bawany Pakistan
Ankur Singh Bist relative to Mehdi Darbandi Iran Mehdi Darbandi's profile →
Citations per field
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Mehdi Darbandi · 1×
Citations per year

Countries citing papers authored by Ankur Singh Bist

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Singh Bist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ankur Singh Bist. 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 Ankur Singh Bist. The network helps show where Ankur Singh Bist may publish in the future.

Co-authorship network of co-authors of Ankur Singh Bist

This figure shows the co-authorship network connecting the top 25 collaborators of Ankur Singh Bist. A scholar is included among the top collaborators of Ankur Singh Bist 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 Ankur Singh Bist. Ankur Singh Bist 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 0
2 0
3 2
4 20
5 1
6 3
7 29
8 0
9 0
10 27
11 1
12 1
13 24
14 28
15 25
16 21
17 7
18
INCESSANT MIGRATION FROM HILL REGIONS OF UTTARAKHAND: AN ESCALATING PROBLEM
1
19
THE PURSUIT FOR NOVEL ACTIVATION FUNCTION
1
20 2

About Ankur Singh Bist

Ankur Singh Bist is a scholar working on Information Systems, Signal Processing and Computer Vision and Pattern Recognition, having authored 77 papers that have together received 657 indexed citations. Recurring topics across this work include Blockchain Technology in Education and Learning (10 papers), COVID-19 diagnosis using AI (7 papers) and SMEs Development and Digital Marketing (5 papers). The work is most often cited by research in Health Informatics (14 citations), Information Systems (222 citations) and Drug Discovery (1 citation). Ankur Singh Bist has collaborated with scholars based in India, Indonesia and Norway. Frequent co-authors include Bhupesh Rawat, Untung Rahardja, Qurotul Aini, N.J. Bershad, Yulia Putri Ayu Sanjaya, Muhammad Iqbal, Nuke Puji Lestari Santoso, Mustofa Kamil, Chandra Lukita and Anggy Giri Prawiyogi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing and Wireless Personal Communications.

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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