Kamil Khadiev

671 total citations
37 papers, 174 citations indexed

About

Kamil Khadiev is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Kamil Khadiev has authored 37 papers receiving a total of 174 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 22 papers in Computational Theory and Mathematics and 8 papers in Computer Networks and Communications. Recurrent topics in Kamil Khadiev's work include Quantum Computing Algorithms and Architecture (24 papers), Quantum Information and Cryptography (11 papers) and Machine Learning and Algorithms (10 papers). Kamil Khadiev is often cited by papers focused on Quantum Computing Algorithms and Architecture (24 papers), Quantum Information and Cryptography (11 papers) and Machine Learning and Algorithms (10 papers). Kamil Khadiev collaborates with scholars based in Russia, Latvia and Japan. Kamil Khadiev's co-authors include Farid Ablayev, Dingming Wu, Joshua Zhexue Huang, Abuzer Yakaryılmaz, Dianhuan Lin, Alexander Rivosh, Masaki Nakanishi, R. I. Yamilov, Andris Ambainis and Denis Melnikov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Theoretical Computer Science and Quantum Information Processing.

In The Last Decade

Kamil Khadiev

32 papers receiving 169 citations

Peers

Kamil Khadiev
Comparison fields: 5 of 32
  • Artificial Intelligence 158
  • Computational Theory and Mathematics 91
  • Computer Networks and Communications 43
  • Information Systems 18
  • Molecular Biology 14
Replace Abuzer Yakaryılmaz with:
Abuzer Yakaryılmaz Latvia
Gillat Kol Israel
Thomas Colcombet France
Jörg Endrullis Netherlands
Radu Mardare Denmark
Yushi Wang China
Sophie Tison France
Margherita Zorzi Italy
Ron D. Rothblum Israel
Sivakanth Gopi United States
Abuzer Yakaryılmaz Latvia View profile →
Citations per field, relative to Kamil Khadiev
Kamil Khadiev · 1×
Citations per year, relative to Kamil Khadiev
Kamil Khadiev · 1×

Countries citing papers authored by Kamil Khadiev

Since Specialization
Citations

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

Fields of papers citing papers by Kamil Khadiev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kamil Khadiev

This figure shows the co-authorship network connecting the top 25 collaborators of Kamil Khadiev. A scholar is included among the top collaborators of Kamil Khadiev 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 Kamil Khadiev. Kamil Khadiev 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
# Work Indexed citations
1 2
2 0
3 1
4 3
5 0
6 2
7 1
8 5
9 5
10 4
11 3
12 4
13 1
14 34
15 18
16
Quantum Dynamic Programming Algorithm for DAGs. Applications for AND-OR DAG Evaluation and DAG's Diameter Search.
1
17
Quantum versus Classical Online Algorithms with Advice and Logarithmic Space.
2
18 4
19 15
20 1

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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