In our recent webinar, we explored a pressing question: How can editorial teams find the right reviewers faster? Two industry experts shared practical solutions from different perspectives. Ali Şahin, General Manager at AVES and member of the European Association of Science Editors, revealed strategies for maintaining review quality at scale. Meanwhile, Oleg Ruchayskiy, Prophy's CEO and Professor of astroparticle physics at Niels Bohr Institute, demonstrated how AI-powered tools can help editors make smarter reviewer matches.
Today's scholarly publishing faces a crucial challenge: maintaining rigorous standards while accelerating the review process. The traditional approach often forces a trade-off between speed and quality. But what if we could have both?
Intelligent technology is transforming how we connect manuscripts with expert reviewers. By analyzing millions of research papers and academic profiles, AI helps identify the most qualified reviewers for each submission. This isn't about replacing human judgment—it's about enhancing it.
"This process is between peers—the human element should not be forgotten," emphasizes Ali Şahin. "We need tools that support rather than replace expert judgment."
Technology enables more than just matching—it helps build lasting relationships with your reviewer community. Smart systems can:
Finding the right reviewer isn't just about subject expertise—it's about understanding the nuanced landscape of academic research. Our discussions revealed how AI can map complex research relationships, helping editors make more informed decisions about reviewer selection.
The future of peer review lies in the thoughtful integration of human expertise and technological innovation. As our webinar demonstrated, we're moving toward a more efficient, transparent, and equitable review process—one that serves both publishers and researchers better.
We're at the forefront of this transformation in scholarly publishing. Discover how Prophy's Referee Finder can help you build a stronger, more efficient peer review system.