Daniela Pohl

20 papers receiving 338 citations

Peers

Daniela Pohl
Comparison fields: 5 of 63
  • Communication 82
  • Insect Science 121
  • Ecology, Evolution, Behavior and Systematics 127
  • Statistical and Nonlinear Physics 74
  • Genetics 111
Replace Olivier Van Laere with:
Olivier Van Laere Belgium
Zachary Miller United States
Robert Gove United States
Nádia Félix Felipe da Silva Brazil
Nic Herndon United States
Thierson Couto Rosa Brazil
Zhuo-Ming Ren China
Chayant Tantipathananandh United States
Clifford Stoll United States
Jintao Tang China
Daniela Pohl relative to Olivier Van Laere Belgium Olivier Van Laere's profile →
Citations per field
00.5×8.2×
Olivier Van Laere · 1×
Citations per year

Countries citing papers authored by Daniela Pohl

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Pohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Daniela Pohl, 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 Daniela Pohl Line = papers co-authored together Daniela Pohl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201261
2 200850
3 201548
4 201331
5 200129
6 201729
7 200624
8 201218
9 200617
10 201213
11 200812
12 20026
13 20135
14 20134
15 20194
16
O DNA mitocondrial em estudos populacionais e evolutivos de meliponíneos
20034
17
Crisis-related Sub-Event Detection Based on Clustering
20142
18
Evolução do genoma mitocondrial e relações filogenéticas entre abelhas da subfamília Apinae
20062
19 20122
20
Primeiras evidências de diferenças na ordem dos genes mitocondriais entre tribos de abelhas
20011

About Daniela Pohl

Daniela Pohl is a scholar working on Artificial Intelligence, Genetics, Ecology, Evolution, Behavior and Systematics, Communication and Statistical and Nonlinear Physics, having authored 20 papers that have together received 362 indexed citations. Recurring topics across this work include Insect and Arachnid Ecology and Behavior (9 papers), Plant and animal studies (8 papers), Public Relations and Crisis Communication (7 papers), Complex Network Analysis Techniques (7 papers), Insect and Pesticide Research (6 papers), Sentiment Analysis and Opinion Mining (4 papers), Data Stream Mining Techniques (2 papers) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Communication (82 citations), Insect Science (121 citations), Ecology, Evolution, Behavior and Systematics (127 citations), Statistical and Nonlinear Physics (74 citations) and Genetics (111 citations). Daniela Pohl has collaborated with scholars based in Austria, United Kingdom and Brazil. Frequent co-authors include Abdelhamid Bouchachia, Hermann Hellwagner, Maria Cristina Arias, Flávio de Oliveira Francisco, Mark Dowton, Walter S. Sheppard, Ricardo Weinlich, Geraldo Moretto, Favízia Freitas de Oliveira and Rute Magalhães Brito. Their work appears in journals such as Apidologie, Multimedia Tools and Applications, Neurocomputing, IEEE Transactions on Knowledge and Data Engineering and Expert Systems with Applications.

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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