Ole‐Christoffer Granmo

3.3k total citations
134 papers, 1.4k citations indexed

About

Ole‐Christoffer Granmo is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Ole‐Christoffer Granmo has authored 134 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Artificial Intelligence, 61 papers in Computer Networks and Communications and 21 papers in Computational Theory and Mathematics. Recurrent topics in Ole‐Christoffer Granmo's work include Optimization and Search Problems (45 papers), Machine Learning and Algorithms (35 papers) and semigroups and automata theory (14 papers). Ole‐Christoffer Granmo is often cited by papers focused on Optimization and Search Problems (45 papers), Machine Learning and Algorithms (35 papers) and semigroups and automata theory (14 papers). Ole‐Christoffer Granmo collaborates with scholars based in Norway, Canada and United Kingdom. Ole‐Christoffer Granmo's co-authors include Morten Goodwin, B. John Oommen, Lei Jiao, Anis Yazidi, Jaziar Radianti, Jivitesh Sharma, Xuan Zhang, Rishad Shafik, Alex Yakovlev and José J. González and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Ole‐Christoffer Granmo

122 papers receiving 1.3k citations

Peers

Ole‐Christoffer Granmo
Comparison fields: 5 of 114
  • Artificial Intelligence 775
  • Computer Networks and Communications 560
  • Electrical and Electronic Engineering 206
  • Management Science and Operations Research 195
  • Computational Theory and Mathematics 127
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Nicola Gatti Italy
Frans A. Oliehoek Netherlands
Justin A. Boyan United States
Yasser D. Al‐Otaibi Saudi Arabia
Mieczyslaw M. Kokar United States
Robert Givan United States
P. Dhavachelvan India
Gregory Farquhar United Kingdom
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Citations per field, relative to Ole‐Christoffer Granmo
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Citations per year, relative to Ole‐Christoffer Granmo
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Countries citing papers authored by Ole‐Christoffer Granmo

Since Specialization
Citations

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

Fields of papers citing papers by Ole‐Christoffer Granmo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ole‐Christoffer Granmo. 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 Ole‐Christoffer Granmo. The network helps show where Ole‐Christoffer Granmo may publish in the future.

Co-authorship network of co-authors of Ole‐Christoffer Granmo

This figure shows the co-authorship network connecting the top 25 collaborators of Ole‐Christoffer Granmo. A scholar is included among the top collaborators of Ole‐Christoffer Granmo 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 Ole‐Christoffer Granmo. Ole‐Christoffer Granmo 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 0
2 0
3 1
4 3
5 3
6 20
7 2
8 6
9 17
10 21
11 24
12 37
13
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
2
14 47
15 6
16 20
17
Environment Sound Classification using Multiple Feature Channels and Deep Convolutional Neural Networks
8
18 10
19 1
20
Combining Unsupervised, Supervised, and Rule-based Algorithms for Text Mining of Electronic Health Records - A Clinical Decision Support System for Identifying and Classifying Allergies of Concern for Anesthesia During Surgery
3

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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