Ferdinando Bin

2.7k citations
92 papers · 2.3k · h-index 33

Impact in

Papers in

Ferdinando Bin

86 papers receiving 2.2k citations

Peers

Ferdinando Bin
Comparison fields: 5 of 65
  • Insect Science 1.8k
  • Ecology, Evolution, Behavior and Systematics 1.7k
  • Genetics 624
  • Plant Science 477
  • Cellular and Molecular Neuroscience 196
Replace Sadao Wakamura with:
Sadao Wakamura Japan
Bruno Gobin Belgium
Andrej Čokl Slovenia
A. K. Minks Netherlands
Martinus E. Huigens Netherlands
Sadahiro Tatsuki Japan
Peter W. de Jong Netherlands
Colin S. Brent United States
Radomı́r Socha Czechia
Mary L. Cornelius United States
Ferdinando Bin relative to Sadao Wakamura Japan Sadao Wakamura's profile →
Citations per field
00.5×1.5×2.4×
Sadao Wakamura · 1×
Citations per year

Countries citing papers authored by Ferdinando Bin

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinando Bin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003192
2
Morphology of antennal gustatory sensilla and glands in some parasitoid Hymenoptera with hypothesis on their role in sex and host recognition
1996149
3 1993116
4 200379
5 199371
6 200370
7 199369
8 200163
9 198155
10 199551
11 200650
12 198148
13 199948
14 199945
15 201045
16 200541
17 200841
18 198640
19 200839
20 200538

About Ferdinando Bin

Ferdinando Bin is a scholar working on Insect Science, Ecology, Evolution, Behavior and Systematics, Plant Science, Genetics and Ecology, having authored 92 papers that have together received 2.3k indexed citations. Recurring topics across this work include Insect-Plant Interactions and Control (61 papers), Hemiptera Insect Studies (34 papers), Plant and animal studies (24 papers), Hymenoptera taxonomy and phylogeny (19 papers), Insect and Pesticide Research (13 papers), Insect and Arachnid Ecology and Behavior (12 papers), Research on scale insects (10 papers) and Plant Parasitism and Resistance (9 papers). The work is most often cited by research in Insect Science (1.8k citations), Ecology, Evolution, Behavior and Systematics (1.7k citations), Genetics (624 citations), Plant Science (477 citations) and Cellular and Molecular Neuroscience (196 citations). Ferdinando Bin has collaborated with scholars based in Italy, United States and Netherlands. Frequent co-authors include Stefano Colazza, Eric Conti, Nunzio Isidoro, S. Bradleigh Vinson, Roberto Romani, Gianandrea Salerno, Jeffrey R. Aldrich, Ezio Peri, Walker A. Jones and Nunzio Isidoro. Their work appears in journals such as Journal of Chemical Ecology, Biological Control, Physiological Entomology, Journal of Experimental Biology and Entomologia Experimentalis et Applicata.

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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