Mulugeta Semework

550 citations
17 papers · 428 · h-index 6

Impact in

Papers in

Mulugeta Semework

17 papers receiving 422 citations

Peers

Mulugeta Semework
Comparison fields: 5 of 96
  • Computational Mathematics 6
  • Cognitive Neuroscience 124
  • Neurology 42
  • Artificial Intelligence 145
  • Computer Vision and Pattern Recognition 79
Replace Jianjun Wang with:
Jianjun Wang China
Hailing Wang China
Paul Munro United States
Vamsi Krishna Ithapu United States
Lei Du China
Radu Stefan Niculescu United States
Sebastian Gerwinn Germany
John Choi United States
Christopher Wallace United Kingdom
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-authors

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

17 of 17 papers shown
#Work
1
Advances in Neural Information Processing Systems 23 (NIPS 2010)
2010285
2 202067
3 201024
4 201512
5 202010
6 20117
7 20185
8 20155
9
A novel family of non-parametric cumulative based divergences for point processes
20104
10 20232
11 20231
12 20241
13 20221
14 20141
15 20151
16 20101
17 20111

About Mulugeta Semework

Mulugeta Semework is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Neurology and Sensory Systems, having authored 17 papers that have together received 428 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (6 papers), Neural dynamics and brain function (6 papers), EEG and Brain-Computer Interfaces (5 papers), Functional Brain Connectivity Studies (3 papers), Transcranial Magnetic Stimulation Studies (2 papers), Neurological disorders and treatments (2 papers), Point processes and geometric inequalities (1 paper) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Computational Mathematics (6 citations), Cognitive Neuroscience (124 citations), Neurology (42 citations), Artificial Intelligence (145 citations) and Computer Vision and Pattern Recognition (79 citations). Mulugeta Semework has collaborated with scholars based in United States, Ethiopia and United Kingdom. Frequent co-authors include Joseph T. Francis, John Choi, José C. Prı́ncipe, Austin J. Brockmeier, Sohan Seth, Il Memming Park, Michael E. Goldberg, Naveen Sendhilnathan, Anna E. Ipata and Pratik Y. Chhatbar. Their work appears in journals such as Brain Research, Frontiers in Neuroscience, Frontiers in Neuroengineering, Neuron and Frontiers in Neurology.

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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