Mulugeta Semework

548 citations
14 papers · 391 indexed · h-index 6

Mulugeta Semework

12 papers receiving 383 citations

Peers

Mulugeta Semework
Comparison fields: 5 of 100
  • Computational Mathematics 5
  • Cognitive Neuroscience 123
  • Neurology 39
  • Artificial Intelligence 131
  • Computer Vision and Pattern Recognition 72
Replace Jianjun Wang with:
Jianjun Wang China
Hailing Wang China
Jun‐Young Chung South Korea
Radu Stefan Niculescu United States
Agustín Lage‐Castellanos Cuba
Peng Cao China
Sebastian Gerwinn Germany
Jörg Lücke Germany
Mulugeta Semework relative to Jianjun Wang China Jianjun Wang's profile →
Citations per field
00.5×1.5×
Jianjun Wang · 1×
Citations per year

Countries citing papers authored by Mulugeta Semework

Since Specialization
Citations

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

Fields of papers citing papers by Mulugeta Semework

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

14 of 14 papers shown
#Work
1 20241
2 20231
3 20220
4 202064
5 20208
6 20185
7 201511
8 20151
9 20154
10 20116
11 20110
12
A novel family of non-parametric cumulative based divergences for point processes
20104
13 201023
14
Advances in Neural Information Processing Systems 23 (NIPS 2010)
2010263

About Mulugeta Semework

Mulugeta Semework is a scholar working on Sensory Systems, Neurology, Cognitive Neuroscience, Cellular and Molecular Neuroscience and Emergency Medicine, having authored 14 papers that have together received 391 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (5 papers), Neural dynamics and brain function (4 papers), EEG and Brain-Computer Interfaces (4 papers), Traumatic Brain Injury and Neurovascular Disturbances (2 papers), Functional Brain Connectivity Studies (2 papers), Transcranial Magnetic Stimulation Studies (2 papers), Trauma and Emergency Care Studies (2 papers) and Morphological variations and asymmetry (1 paper). The work is most often cited by research in Computational Mathematics (5 citations), Cognitive Neuroscience (123 citations), Neurology (39 citations), Artificial Intelligence (131 citations) and Computer Vision and Pattern Recognition (72 citations). Mulugeta Semework has collaborated with scholars based in United States, Ethiopia and United Kingdom. Frequent co-authors include Joseph T. Francis, John Choi, Sohan Seth, José C. Prı́ncipe, Austin J. Brockmeier, Il Memming Park, Michael E. Goldberg, Anna E. Ipata, Weiguo Song and Pratik Y. Chhatbar. Their work appears in journals such as Frontiers in Neurology, Brain Research, Communications Biology, Frontiers in Neuroscience and eLife.

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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