Daniela Pohl

530 total citations
20 papers, 352 citations indexed

About

Daniela Pohl is a scholar working on Artificial Intelligence, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniela Pohl has authored 20 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Genetics and 8 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniela Pohl's work include Insect and Arachnid Ecology and Behavior (9 papers), Plant and animal studies (8 papers) and Complex Network Analysis Techniques (7 papers). Daniela Pohl is often cited by papers focused on Insect and Arachnid Ecology and Behavior (9 papers), Plant and animal studies (8 papers) and Complex Network Analysis Techniques (7 papers). Daniela Pohl collaborates with scholars based in Austria, United Kingdom and Brazil. Daniela Pohl's co-authors include Abdelhamid Bouchachia, Hermann Hellwagner, Maria Cristina Arias, Flávio de Oliveira Francisco, Mark Dowton, Walter S. Sheppard, Ricardo Weinlich, Geraldo Moretto, Rute Magalhães Brito and Favízia Freitas de Oliveira and has published in prestigious journals such as Expert Systems with Applications, Neurocomputing and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Daniela Pohl

20 papers receiving 328 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Pohl Austria 11 125 118 110 104 81 20 352
Zachary Miller United States 8 45 0.4× 32 0.3× 36 0.3× 161 1.5× 7 0.1× 16 361
Manuel Sebastian Mariani Switzerland 12 50 0.4× 9 0.1× 14 0.1× 53 0.5× 15 0.2× 30 549
Nic Herndon United States 9 10 0.1× 15 0.1× 25 0.2× 96 0.9× 73 0.9× 21 361
Thierson Couto Rosa Brazil 14 27 0.2× 13 0.1× 25 0.2× 291 2.8× 7 0.1× 28 470
Peter van der Putten Netherlands 9 66 0.5× 25 0.2× 51 0.5× 100 1.0× 2 0.0× 28 370
Chris Tofts United Kingdom 15 477 3.8× 245 2.1× 531 4.8× 141 1.4× 2 0.0× 36 912
Zhuo-Ming Ren China 11 43 0.3× 9 0.1× 11 0.1× 63 0.6× 16 0.2× 31 636
Nádia Félix Felipe da Silva Brazil 8 20 0.2× 13 0.1× 20 0.2× 459 4.4× 14 0.2× 27 569
Jorge Peña Switzerland 16 60 0.5× 6 0.1× 286 2.6× 103 1.0× 5 0.1× 39 635
Edgar Hassler United States 7 80 0.6× 91 0.8× 90 0.8× 50 0.5× 4 0.0× 18 303

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-authorship network of co-authors of Daniela Pohl

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Pohl. A scholar is included among the top collaborators of Daniela Pohl 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 Daniela Pohl. Daniela Pohl 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
1.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2019). Active Online Learning for Social Media Analysis to Support Crisis Management. IEEE Transactions on Knowledge and Data Engineering. 32(8). 1445–1458. 4 indexed citations
2.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2017). Batch-based active learning: Application to social media data for crisis management. Expert Systems with Applications. 93. 232–244. 29 indexed citations
3.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2015). Online indexing and clustering of social media data for emergency management. Neurocomputing. 172. 168–179. 47 indexed citations
4.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2014). Crisis-related Sub-Event Detection Based on Clustering. 2. 1–10. 2 indexed citations
5.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2013). Social media for crisis management: clustering approaches for sub-event detection. Multimedia Tools and Applications. 74(11). 3901–3932. 31 indexed citations
6.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2013). Online Processing of Social Media Data for Emergency Management. 3746. 408–413. 5 indexed citations
7.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2013). Supporting Crisis Management via Detection of Sub-Events in Social Networks. RePEc: Research Papers in Economics. 5(3). 20–36. 4 indexed citations
8.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2012). Automatic Identification of Crisis-Related Sub-events Using Clustering. 333–338. 18 indexed citations
9.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2012). Supporting Crisis Management via Sub-event Detection in Social Networks. 373–378. 13 indexed citations
10.
Reiners, René, et al.. (2012). An approach to evolutionary design pattern engineering. 22. 2 indexed citations
11.
Pohl, Daniela, Abdelhamid Bouchachia, & Hermann Hellwagner. (2012). Automatic sub-event detection in emergency management using social media. 683–686. 59 indexed citations
12.
13.
Arias, Maria Cristina, Daniela Pohl, Flávio de Oliveira Francisco, Ricardo Weinlich, & Walter S. Sheppard. (2008). An oligonucleotide primer set for PCR amplification of the complete honey bee mitochondrial genome. Apidologie. 39(4). 475–480. 10 indexed citations
14.
Arias, Maria Cristina, Rute Magalhães Brito, Flávio de Oliveira Francisco, et al.. (2006). Molecular markers as a tool for population and evolutionary studies of stingless bees. Apidologie. 37(2). 259–274. 24 indexed citations
15.
Pohl, Daniela & Maria Cristina Arias. (2006). Mitochondrial tRNA gene translocations in highly eusocial bees. Genetics and Molecular Biology. 29(3). 572–575. 16 indexed citations
16.
Pohl, Daniela & Maria Cristina Arias. (2006). Evolução do genoma mitocondrial e relações filogenéticas entre abelhas da subfamília Apinae. 2 indexed citations
17.
Arias, Maria Cristina, Flávio de Oliveira Francisco, & Daniela Pohl. (2003). O DNA mitocondrial em estudos populacionais e evolutivos de meliponíneos. 4 indexed citations
18.
Pohl, Daniela, Flávio de Oliveira Francisco, Ricardo Weinlich, & Maria Cristina Arias. (2002). A scientific note on mtDNA gene order rearrangements among highly eusocial bees (Hymenoptera, Apidae). Apidologie. 33(3). 355–356. 6 indexed citations
19.
Francisco, Flávio de Oliveira, Daniela Pohl, & Maria Cristina Arias. (2001). Mitochondrial DNA characterization of five species of Plebeia (Apidae: Meliponini): RFLP andrestriction maps. Apidologie. 32(4). 323–332. 29 indexed citations
20.
Pohl, Daniela, Flávio de Oliveira Francisco, & Maria Cristina Arias. (2001). Primeiras evidências de diferenças na ordem dos genes mitocondriais entre tribos de abelhas. 1 indexed citations

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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