A. Kellner

653 citations
22 papers · 364 · h-index 8

Impact in

    • Blood transfusion and management
    • Speech and dialogue systems
    • Natural Language Processing Techniques
    • Topic Modeling
    • Speech Recognition and Synthesis

Papers in

A. Kellner

19 papers receiving 309 citations

Peers

A. Kellner
Comparison fields: 5 of 87
  • Biochemistry 36
  • Artificial Intelligence 109
  • Physiology 75
  • Management of Technology and Innovation 14
  • Critical Care and Intensive Care Medicine 10
Replace Mohamed M. Rizk with:
Mohamed M. Rizk Egypt
Lingfang Li China
Shadab Ahmad India
Alexis Nasr France
Taha Mohseni Ahooyi United States
Like Zhang China
Doaa Mahmoud‐Ghoneim United Arab Emirates
Marcelo Moreno Brazil
B. Schneider Germany
A. Kellner relative to Mohamed M. Rizk Egypt Mohamed M. Rizk's profile →
Citations per field
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Mohamed M. Rizk · 1×
Citations per year

Countries citing papers authored by A. Kellner

Since Specialization
Citations

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

Fields of papers citing papers by A. Kellner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside A. Kellner, 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 A. Kellner Line = papers co-authored together A. Kellner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968154
2 196370
3 200034
4 199719
5 199718
6 196211
7 19989
8 20158
9 20006
10 20026
11 20175
12 19985
13 20025
14 19963
15 20023
16 19652
17 20032
18 20162
19 19991
20 20161

About A. Kellner

A. Kellner is a scholar working on Artificial Intelligence, Mechanical Engineering, Computer Networks and Communications, Control and Systems Engineering and Information Systems, having authored 22 papers that have together received 364 indexed citations. Recurring topics across this work include Speech and dialogue systems (11 papers), Natural Language Processing Techniques (7 papers), Topic Modeling (5 papers), Speech Recognition and Synthesis (4 papers), Design Education and Practice (2 papers), Systems Engineering Methodologies and Applications (2 papers), Product Development and Customization (2 papers) and Service-Oriented Architecture and Web Services (2 papers). The work is most often cited by research in Biochemistry (36 citations), Artificial Intelligence (109 citations), Physiology (75 citations), Management of Technology and Innovation (14 citations) and Critical Care and Intensive Care Medicine (10 citations). A. Kellner has collaborated with scholars based in Germany, Austria and Finland. Frequent co-authors include Arthur W. Rowe, Elaine Eyster, G Richter, Frank Seide, Kenneth R. Woods, Peter Hehenberger, Thomas Portele, May G. Wilson, Morton D. Schweitzer and Silke Goronzy. Their work appears in journals such as The Journal of Cell Biology, Advances in Complex Systems, IEEE Transactions on Speech and Audio Processing, American Journal of Epidemiology and Speech Communication.

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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